Data Scientist, Digital Advertisement/Marketing - Global Ad Technology Supervisory Department (GATD)
JPY 6500K-7500K (estimate) Mid-level Full Time
Tasks
- Build machine learning models and run offline evaluation
- Collaborate with stakeholders on requirements decision support and documentation
- Define ad delivery optimization problems
- Deploy models to production and automate training inference pipelines
- Design KPIs metrics and observability dashboards alerts
- Monitor model drift and implement model updates and rollback
- Perform data preprocessing and feature engineering
- Run online experiments including AB tests and bandits
- Support privacy and quality governance for models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Aerospike | Ansible | Apache Beam | Apache Flink | Apache Kafka | B testing | Big Data | BigQuery | CI/CD | CTR Prediction | CVR Prediction | Calibration | Causal Inference | Classification | Cloud Pub/Sub | Cloud SQL | Dataflow | Docker | Drift Detection | Experimental Design | Feature Engineering | Feature Store | GBDT | Google Kubernetes | Google Kubernetes Engine | Kubernetes | Kubernetes Engine | Logistic Regression | MLOps | Machine Learning | Model Deployment | Monitoring | Neural Networks | NumPy | Pandas | Probability | Pub/Sub | Python | Regression | SQL | Scikit-learn | Spark | Statistics | TensorFlow | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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